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  2. Category:Free data analysis software - Wikipedia

    en.wikipedia.org/wiki/Category:Free_data...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  3. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    OpenNN – A software library written in the programming language C++ which implements neural networks, a main area of deep learning research; Orange, a data mining, machine learning, and bioinformatics software; Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels ...

  4. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  5. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [ 3 ] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year.

  6. DIY research - Wikipedia

    en.wikipedia.org/wiki/DIY_research

    Quantitative research is a structured approach to gathering and evaluating data from different sources using different statistical tools. [7] DIY quantitative research tools provide resources to individuals to identify sample needs based on specific criteria for their research study. [8]

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

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